Housing Demand and Remote Work

2022-11 | May 1, 2022

Revised May 29, 2025

We show that the shift to remote work explains over one-half of the 18.9 percent increase in U.S. real house prices from 2019 to 2023. Using variation in remote work exposure across metropolitan areas, we estimate that an additional percentage point of remote work causes a 0.92 percent increase in house prices after controlling for spillovers from migration. This finding reflects an increase in demand for home space: remote work causes an increase in residential rents, a decline in commercial rents, and a greater increase in prices for larger homes. The cross-sectional effect on house prices combined with the aggregate shift to remote work implies that remote work raised real house prices by 11.9 percent. We show that our cross-sectional estimate is a sufficient statistic for extrapolation to the true aggregate effect in a wide class of models. Our results argue for a fundamentals-based explanation for the recent increases in housing costs over speculation or financial factors, and introduce an empirical solution to the aggregation problem of cross-sectional estimates when it is possible to control for spillovers.

Suggested citation:

Mondragon, John and Johannes Wieland. 2025. “Housing Demand and Remote Work.” Federal Reserve Bank of San Francisco Working Paper 2022-11. https://doi.org/10.24148/wp2022-11

About the Authors
John Mondragon is a research advisor in the Economic Research Department of the Federal Reserve Bank of San Francisco. Learn more about John Mondragon
Johannes Wieland is a senior research advisor in the Economic Research Department of the Federal Reserve Bank of San Francisco. Learn more about Johannes Wieland

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